code: def __init__(
      self,
      gnn: GraphNeuralNetwork,
      decoder: GruCopyingDecoder,
      node_to_graph_representation: AbstractVarSizedElementReduce,
  ):
      super().__init__()
      self._gnn = gnn
      self._decoder = decoder
      self.__node_to_graph_representation = node_to_graph_representation
  
imports: from typing_extensions import Final, TypedDict
  import torch
  from typing import Any, Dict, List, NamedTuple, Optional, Tuple, Union
  from ptgnn.baseneuralmodel import AbstractNeuralModel, ModuleWithMetrics
  from ptgnn.baseneuralmodel.utils.data import enforce_not_None
  from ptgnn.neuralmodels.gnn.graphneuralnetwork import GraphNeuralNetwork, GraphNeuralNetworkModel
  from ptgnn.neuralmodels.gnn.structs import GnnOutput, GraphData, TensorizedGraphData
  from ptgnn.neuralmodels.reduceops import AbstractVarSizedElementReduce, ElementsToSummaryRepresentationInput, MultiheadSelfAttentionVarSizedElementReduce, SimpleVarSizedElementReduce
  from ptgnn.neuralmodels.sequence.grucopydecoder import DecoderData, GruCopyingDecoder, GruCopyingDecoderModel, TokenizedOutput
label_desc: Use image node_id 1 to create a new Graph2SeqModule object from inherited base classes: ModuleWithMetrics with example: obj = Graph2SeqModule(gnn, decoder, node_to_graph_representation)